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Stability assessment of power-converter-based AC systems by LTP theory: eigenvalue analysis and Harmonic Impedance estimation

机译:基于LTP理论的基于功率变换器的交流系统稳定性评估:特征值分析和谐波阻抗估计

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摘要

Stability analysis of power-converter-based AC systems poses serious challenges not only because of the non-linear nature of power converters, but also because linearisation is not generally applied around a steady-state operating point, as in the DC case, but around a time-periodic operating trajectory. Typical examples are single-phase and unbalanced three-phase systems. In this paper, two general methods to assess stability of the aforementioned systems are presented. Both are based on the Linear Time Periodic (LTP) systems theory. The first is model-based and relies on the evaluation of the eigenvalues of the linearised model, assuming a complete knowledge of the parameters. By contrast, the second proposes a set of small-signal current injections to measure the Harmonic Impedances and applies the LTP Nyquist Criterion, so that stability of the system can be assessed with a black-box approach, without relying on knowledge of the system parameters. The basic LTP systems theory is reviewed in order to provide a mathematical justification for the second method. As case study, a simple network, consisting of a source full-bridge converter in AC voltage-control mode and a load full-bridge converter in AC current-control mode including PLL, is considered. Analytical results based on average modelling and simulations based on both average and switching models are presented, showing good accuracy in the identification of the stability thresholds for both the proposed methods.
机译:基于功率转换器的交流系统的稳定性分析提出了严峻的挑战,不仅因为功率转换器的非线性特性,而且因为线性化通常不像在直流情况下那样围绕稳态工作点进行,时间周期的运行轨迹。典型示例是单相和不平衡三相系统。本文提出了两种评估上述系统稳定性的通用方法。两者均基于线性时间周期(LTP)系统理论。第一种是基于模型的,并且假设对参数有完整的了解,因此依赖于线性化模型的特征值的评估。相比之下,第二种方法提出了一组小信号电流注入来测量谐波阻抗并应用LTP奈奎斯特准则,因此可以使用黑盒方法评估系统的稳定性,而无需依赖系统参数的知识。 。回顾了基本的LTP系统理论,以便为第二种方法提供数学依据。作为案例研究,考虑了一个简单的网络,该网络由处于AC电压控制模式的源全桥转换器和处于AC电流控制模式的负载全桥转换器(包括PLL)组成。提出了基于平均模型的分析结果以及基于平均模型和切换模型的仿真结果,在两种方法的稳定性阈值识别中均显示出良好的准确性。

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